Measure the Slowness, Then Remove It

Find Out Why It Is Slow

IT performance optimization for Texas businesses. We baseline boot times, logins, file opens, and application response with real counters, isolate the layer that is actually costing the time, remediate in waves, and publish the before-and-after numbers.

Request a Performance Baseline 888.792.8080

SOC 2 Aligned

Responsive Support

20+ Years Experience

What We Offer

Comprehensive solutions tailored for Houston-area businesses

Baseline Measurement Before Any Change

Boot duration, login duration, file open time, application transaction time, and print time, captured per site and per machine class before anyone touches a setting. We pull boot and shutdown timings from Event ID 100 in the Microsoft-Windows-Diagnostics-Performance log and logon processing from the Group Policy operational log. Without a baseline there is no way to tell whether a change helped, and no way to answer the person who says it is still slow.

Endpoint and Workstation Performance

Memory saturation and paging, disk queue depth, mechanical drives that should have been replaced two refresh cycles ago, startup application sprawl, two security agents scanning each other’s file operations, a Windows Update backlog, roaming profiles that have grown past sensible, and Outlook OST files that have quietly reached a size the client was never happy with. Perfmon data collector sets run on a representative sample, not on a single test machine.

Server, Virtualization and Storage Performance

Storage latency and IOPS measured at the datastore rather than inside the guest, vCPU ready time from overcommitted hosts read in esxtop or the vCenter performance charts, memory ballooning, snapshot chains nobody consolidated, and backup or antivirus jobs overlapping the working day. A great many complaints blamed on the network start here.

Application and SaaS Response

Query and index health for the line-of-business database, read from Query Store and wait statistics rather than guessed at. Applications designed for a LAN and now used across a WAN. Microsoft 365 and OneDrive or SharePoint sync behavior on large libraries. Session host sizing for Azure Virtual Desktop or Citrix. We time the actual transactions your staff complain about, not a synthetic benchmark.

Right-Sizing Cloud and Virtual Workloads

Where a workload is slow because it is starved, or expensive because it is oversized, we correct it and show the utilization data behind the decision. Deeper platform cost work sits with our Azure and AWS managed services rather than here. This engagement is performance first, with the bill as a consequence.

Monitoring That Produces a Trend, Not an Alarm

Automated monitoring runs continuously and collects the counters that matter: % Processor Time and System\Processor Queue Length, Memory\Available MBytes and Pages/sec, PhysicalDisk Avg. Disk sec/Transfer and Current Disk Queue Length, TCP segments retransmitted, and round-trip latency. Next quarter’s question then gets answered from data instead of from memory. Thresholds are tuned to fire on a trend crossing a line, not on every transient spike.

Remediation With a Before-and-After Number

Every fix carries the measurement that justified it and the measurement that proves it worked. If a change made no measurable difference, it is recorded as such and reversed rather than quietly counted as a win.

Capacity and Refresh Planning

Which machines are past useful life now, which will be within twelve months, which servers are running out of headroom, and what order to buy in. The output feeds into a technology roadmap and a budget cycle rather than arriving as an emergency in March.

Why Choose LayerLogix?

Serving businesses throughout the Greater Houston area including Houston, The Woodlands, Spring, Katy, Sugar Land, Conroe, Pearland, Dallas, Austin.

You Get a Number, Not an Opinion

The deliverable reads: login took this long, it now takes this long, and here is the counter that shows it. That is a conversation you can have with a finance director. "Faster" is not.

The Right Layer Gets Fixed

Everything slow gets blamed on the network. Isolating whether the delay sits in the endpoint, the storage, the database, the application, or the link stops money going into a circuit upgrade that was never the constraint.

Fewer Tickets About Speed

Speed complaints are the tickets that get closed without ever really being fixed, then reopened under a different description. Removing the cause removes the ticket stream rather than the symptom.

Spend Goes Where the Measurement Points

Ranking findings by user-minutes lost against effort to fix means the cheap high-impact changes happen first, and the hardware case, if there is one, arrives with evidence attached.

100% Texas-Based Support With 20+ Years Experience

The engineer reading the perfmon capture is the one who will be on site when a workstation needs opening up. Nothing gets lost in a handover between a measurement team and a fix team.

Our Process

Symptom intake: what is slow, for whom, at what time of day, and since when

Instrument the environment and capture a baseline across endpoints, servers, storage, and links

Reproduce the complaint with timings rather than descriptions

Isolate the layer: endpoint, server, storage, network, application, or cloud service

Rank findings by user-minutes lost against the effort to fix them

Remediate in waves, re-measuring after each wave

Publish a before-and-after report with the counters behind every claim

Leave monitoring and thresholds in place so regressions surface before anyone files a ticket

Frequently Asked Questions

How do you decide whether it is the network or the computer?▼

By measuring both at the moment the complaint happens. If a file takes twelve seconds to open, the question is where those twelve seconds went. Round-trip latency and TCP retransmission counts on the path tell you what the link contributed. Disk queue length and available memory on the workstation tell you what the endpoint contributed. Storage latency at the datastore tells you what the server contributed. In practice the answer is frequently the endpoint or the storage, which is why upgrading the circuit so often changes nothing.

What do you actually measure?▼

Boot and login duration. Application launch and transaction times. % Processor Time and System\Processor Queue Length. Memory\Available MBytes and Memory\Pages/sec. PhysicalDisk Current Disk Queue Length and Avg. Disk sec/Transfer. Storage IOPS and latency at the array or datastore. vCPU ready time on virtual hosts. Round-trip latency, jitter, and TCP retransmission rates on the links, using iperf3 and path testing where a synthetic load is safe to run. Windows event telemetry for errors that correlate with the slow periods. Which of these we collect depends on the symptom; we do not collect everything by default.

What tools do you use to measure it?▼

Windows Performance Monitor data collector sets and Resource Monitor on endpoints and servers, the Microsoft-Windows-Diagnostics-Performance and Group Policy operational event logs for boot and logon timing, esxtop and the vCenter performance charts on VMware hosts, the storage vendor’s own latency and IOPS reporting at the array, SQL Server Query Store and wait statistics for database work, iperf3 and packet capture for the link, and our RMM telemetry for continuous trending. Nothing here is proprietary to us, which means you can verify the numbers yourself and keep collecting them after we leave.

Our staff say everything is slow and IT says nothing is wrong. Who is right?▼

Usually both, which is why the disagreement never resolves. Infrastructure dashboards report averages and availability, and an environment can be perfectly available while being unpleasant to use. Staff experience specific moments: the Monday morning login, the month-end report, the shared folder that hangs at 4pm. Measuring those specific moments, at those specific times, is what turns the argument into a finding.

Will you just tell us to buy new hardware?▼

Sometimes, and when we do it will be because the measurement supports it, such as a machine that cannot take more memory or a disk whose queue depth never drops. But a lot of what we find is configuration rather than capacity: duplicated security agents, an antivirus exclusion that was never set for the database files, a backup window overlapping the working day, a Group Policy object adding minutes to every login. Those cost nothing to fix.

How is this different from an IT assessment?▼

An IT assessment looks broadly across the whole estate, covering infrastructure, security, applications, process, and cost, and produces a prioritized recommendations report. This engagement goes narrow and deep on one question, how fast the environment is, and produces before-and-after measurements. If you do not yet know what your problems are, start with the assessment. If you know exactly what the problem is because your staff tell you daily, start here.

Is this the same as network performance optimization?▼

No, and keeping them separate is the point. Network performance optimization deals with the link and the fabric: bandwidth, quality of service, traffic shaping, jitter and packet loss, and capacity on the circuit. This engagement covers the whole path a user action travels, meaning the workstation, the server, the storage, the application, and the cloud service, with the network treated as one layer we test rather than the assumed culprit. Where the measurement points at the fabric, the work moves to our network design and network performance services.

How long before users notice a difference?▼

The first wave is usually configuration-level work, and it lands inside a normal change window, and the same counters we baselined are re-measured afterwards so the change is visible rather than asserted. Structural changes such as storage, host capacity, or hardware replacement follow procurement and a planned outage, so they land on a longer timeline. We measure after each wave rather than at the end, so nobody is waiting on faith.

Do you keep monitoring after the project ends?▼

Yes, if you want it. The monitoring and thresholds we put in place to measure the environment stay in place to watch it, and the performance counters join the same continuously running automated monitoring as everything else we manage. Human review happens during business hours, with after-hours emergency support for anything that crosses into an outage.

Do you provide IT Performance Optimization in Houston and nearby areas?▼

Yes. LayerLogix is based in the Greater Houston area and delivers IT performance optimization to businesses across Houston and the surrounding communities, including The Woodlands, Spring, Katy, Sugar Land, Conroe, Cypress, and Pearland. For most Houston-area clients we can be on-site the same day when something needs hands-on attention, and our help desk is available during business hours, with after-hours emergency support. Call 713-571-2390 to check coverage for your specific address.

What does IT Performance Optimization cost for a Houston business?▼

IT Performance Optimization is quoted per project rather than as a monthly fee — the price is driven by the scope of the work, the number of devices, sites, and users involved, plus any equipment, design, configuration, and testing effort. We start with a free, no-obligation assessment, then give you a clear, itemized quote in plain English with no hidden costs — so you know the full price before any work begins.

Ready to Get Started?

Contact LayerLogix today for a free consultation. We serve businesses throughout Houston, The Woodlands, Spring, and the surrounding Greater Houston area.

Schedule Free Consultation Call 888.792.8080